A hybrid deep CNN model for fast class-incremental food classification /
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| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
2019.
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| Subjects: | |
| Online Access: | http://studentsrepo.um.edu.my/11800/ |
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| LEADER | 01460cam a2200361 i 4500 | ||
|---|---|---|---|
| 001 | u1123079 | ||
| 003 | SIRSI | ||
| 005 | 201909231046 | ||
| 008 | 190923s2019 my a m 000 0 eng | ||
| 040 | |a UMM |d AUM |e rda | ||
| 090 | |a QA76 |b UM 2019 Ala | ||
| 100 | 1 | |a Al-Ashwal, Aymen Taher Ahmed, |e author. | |
| 245 | 1 | 2 | |a A hybrid deep CNN model for fast class-incremental food classification / |c Aymen Taher Ahmad Al-Ashwal. |
| 264 | 1 | |c 2019. | |
| 300 | |a xii, 48 leaves : |b illustrations ; |c 30 cm | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 338 | |a computer disc |2 rdacarrier | ||
| 502 | |b M.Comp.Sc. |c Jabatan Kepintaran Buatan, Fakulti Sains Komputer dan Teknologi Maklumat, Universiti Malaya |d 2019. | ||
| 504 | |a Bibliography: leaves 43-48. | ||
| 530 | |a Also issued in CD. | ||
| 650 | 0 | |a Image processing |x Digital techniques. | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Food consumption. | |
| 650 | 0 | |a Machine learning. | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Kepintaran Buatan, |e degree granting institution. | |
| 856 | 4 | 1 | |u http://studentsrepo.um.edu.my/11800/ |
| 596 | |a 1 25 | ||
| 900 | |a NSM | ||
| 999 | |a QA76 UM 2019 ALA |w LC |c 1 |i A517373994 |f 2/10/2019 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 2/10/2019 |1 STEM | ||
| 999 | |a QA76 UM 2019 ALA |w LC |c 1 |i A517378461 |f 13/10/2020 |g 1 |l STACKS |m P25UMARCHI |r N |s Y |t CD |u 13/10/2020 |1 STEM |o .STAFF. MST-CD687 | ||